In the last two posts in this series, we discussed the Web of data, which makes structured interlinked data sets machine-accessible, and the Web of identities, which makes data about people machine-accessible while addressing privacy and data volatility.
This time, we'll focus on the Web of services, which makes services accessible to and processable for machines. These Webs all have a semantic architecture in common and follow basic Web principles, such as being decentralized, modular, simple, addressable via URIs, and built for machines.
We've chronicled semantic web service Twine's birth, checkered youth, and recent woes in terms of traffic waning and criticism waxing.
We've been given screencasts of the new version of this knowledge management application - screencasts of both the consumer- and developer-facing facets of the site. Take a look, and let us know if the new Twine lives up to expectations. This new version, we are told, will be live by the end of the year.
Since it was first unveiled to ReadWriteWeb back in October 2007, Semantic Web application Twine has traveled a rocky road. The product is a knowledge management service, in practical terms similar to social bookmarking site Delicious. However, almost from the start there have been vocal critics of Twine.
The latest critique is a scathing post by Semantic Web consultant Greg Boutin, entitled Twine in Freefall?. Boutin argues that Twine's traffic has taken a dive recently. We followed up with Twine founder Nova Spivack for his response. He admits that traffic has declined "20-25%," but says that Twine is focusing on an all-new version of its product.
We've all seen photos of ourselves in locations we can't quite remember. Often they're from exotic travels or from days long past. Regardless of the reason for your memory loss, IBM is working on a tool that can help. In collaboration with the European Union consortium, the company is testing SAPIR (Search in Audio-Visual Content Using Peer-to-peer Information Retrieval). The image matching search technology allows users to pull results from large collections of audio-visual content without using tags for search. Instead, users can upload images and match them to similar ones - perhaps even ones with signage and labels. The system analyzes everything from digital photographs, to sound files to video. From here it automatically indexes and ranks the media for retrieval.
At the SemTech conference in June I met with William Mougayar, founder and CEO of a semantic news platform called Eqentia. At the time the product was in development, but it is officially launching today. In a nutshell, Eqentia aggregates content into topics using semantic technology. In that respect it is similar to OpenCalais (our coverage) and Evri (our coverage). While all three products have different focuses, each semantically tags and aggregates content in a contextual manner.
The difference, claims Eqentia, is that "with Evri or OpenCalais, the onus is on the programmer." Eqentia says that with its product, "the content is already semanticized and all you have to do is to place it on your portal while preserving your SEO." The other two companies may disagree with that, but let's take a closer look at Eqentia.
We've all seen how semantic technologies improve search results, but rarely do we see those results put to use in such a targeted way. Jens Tellefsen, VP of Marketing and Product Strategy at NetBase Solutions spoke to ReadWriteWeb about today's launch of healthBase - a medical search and discovery application. Using a variety of semantic indexing techniques, the company crawls the web's leading medical and health players including the Mayo Clinic, PubMed (US National Library of Medicine) WedMd, Medical News Today and Discovery Health. What makes this a truly unique technology is that rather than requiring any data manipulation from humans, Netbase's search results are completely automated.
Dygest.net is a fascinating new service that looks over hundreds of topical sources online, finds out what the hot topics are and publishes excerpts of coverage that help tell the whole story succinctly on one page. It's like Cliffs Notes for meme-tracking and it appears to work quite well.
At first glance Dygest looks like the work of one more computer scientist who's trained a robot to hunt for hot links. There are a lot of those now. This one uses natural language processing algorithms instead of tracking links between sources, though, and the summaries from multiple sources are enjoyable to read. Demo sites have been set up for technology, environmental, film, Chicago-area and San Francisco area news.
Semantic search engine Evri can now understand how the web feels with the launch of their new sentiment web API. While busy scouring the net for people, places, and things and determining the relationships between them, the search engine is now able to understand the feelings associated with these entities, too, be them positive or negative. Using the API, developers can build applications for things like market intelligence, market research, sports and entertainment, brand management, product reviews and more.
Pop-up info windows: someone had to do it right, right? After years of pushy, worthless little window overlays that pop up when you hover over a link, there are now a number of companies trying to offer bloggers and their readers a whole lot of value in what could be a handy format.
Below we briefly review two of these services, Apture and Zemanta's Balloons. Is this kind of product really worth using? Once you add a pop-up of someone's LinkedIn profile next to their name as you type it, you may never want to go back to not having a tool like this at your disposal.
Siri has been getting a lot of hype over the past year. It's an as yet unreleased product that aims to be a "Virtual Personal Assistant" (VPA). At the recent SemTech conference in San Jose, I sat down with two of the founders of Siri: Dag Kittlaus (CEO) and Tom Gruber (CTO). I was informed that the product will launch end of summer U.S. time - starting out as an iPhone app, but later other platforms will be supported. The iPhone app will go into private beta July/August time period, then launch in Q4 2009 or Q1 2010.
Siri has been preparing for this for some time now. While the product is still more promise than substance, I at least got to look at some real-life iPhone demos in San Jose.
